Building upon the foundational concepts of FL introduced in Chap. 2 , this chapter delves into the diverse applications of FL in smart mobility systems. We explore how FL can enhance AD, particularly in cooperative perception between vehicles to improve safety and navigation. Additionally, the role of FL in TFP and intelligent signal control is examined, highlighting its potential for real-time, data-driven traffic management. We also investigate how FL optimizes personalized mobility services, such as adaptive route recommendations, and addresses security concerns in V2X communication. Furthermore, the potential of FL to support sustainable and energy-efficient mobility solutions is discussed. The chapter concludes with a summary of key insights and future directions for FL in the transportation sector.

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FL Applications in Smart Mobility

  • Jiaming Pei,
  • Lukun Wang,
  • Minghui Dai

摘要

Building upon the foundational concepts of FL introduced in Chap. 2 , this chapter delves into the diverse applications of FL in smart mobility systems. We explore how FL can enhance AD, particularly in cooperative perception between vehicles to improve safety and navigation. Additionally, the role of FL in TFP and intelligent signal control is examined, highlighting its potential for real-time, data-driven traffic management. We also investigate how FL optimizes personalized mobility services, such as adaptive route recommendations, and addresses security concerns in V2X communication. Furthermore, the potential of FL to support sustainable and energy-efficient mobility solutions is discussed. The chapter concludes with a summary of key insights and future directions for FL in the transportation sector.